Nadish Saini

An adaptive knowledge-based data-driven approach for turbulence modeling using ensemble learning technique under complex flow configuration: 3D PWR sub-channel with DNS data

NUCLEAR ENGINEERING AND DESIGN, 393.

Detailed Analysis of the Effects of Spacer Grid and Mixing Vanes on Turbulence in a PWR Subchannel Under DFFB Conditions Based on DNS Data

Saini, N., & Bolotnov, I. A. (2021, December 8). NUCLEAR TECHNOLOGY, Vol. 12.

Two-Phase Turbulence Statistics from High Fidelity Dispersed Droplet Flow Simulations in a Pressurized Water Reactor (PWR) Sub-Channel with Mixing Vanes

FLUIDS, 6(2).

Interface-Resolved Simulations of Reactor Flows

[Review of ]. NUCLEAR TECHNOLOGY, 206(2), 133–149.

Laminar/turbulent airflow and microsphere deposition in a patient-specific airway geometry using an open-source solver

International Journal of Biomedical Engineering and Technology, 22(2), 145–161.